Shibo Lu

According to our database, Shibo Lu authored at least 9 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Sustainable Deep Learning at Grid Edge for Real-Time High Impedance Fault Detection.

Tharmakulasingam Sirojan, Shibo Lu, Bao Toan Phung, Daming Zhang, Eliathamby Ambikairajah

IEEE Trans. Sustain. Comput., 2022

TileSpMSpV: A Tiled Algorithm for Sparse Matrix-Sparse Vector Multiplication on GPUs.

Haonan Ji, Huimin Song, Shibo Lu, Zhou Jin, Guangming Tan, Weifeng Liu

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Intelligent DC Series Arc Fault Detection using Deep Learning in Photovoltaic Systems.

Shibo Lu

PhD thesis, 2021

Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations.

Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Zhou Jin, Weifeng Liu, Brian Vinter

Int. J. Parallel Program., 2021

2020

Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations.

Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Weifeng Liu, Brian Vinter

Proceedings of the Network and Parallel Computing, 2020

Unveiling the Features of Network Dynamics: a Data-Oriented Approach.

Shibo Lu, Daphné Tuncer, Stuart Clayman

Proceedings of the NOMS 2020, 2020

2019

DA-DCGAN: An Effective Methodology for DC Series Arc Fault Diagnosis in Photovoltaic Systems.

Shibo Lu, Tharmakulasingam Sirojan, Bao Toan Phung, Daming Zhang, Eliathamby Ambikairajah

IEEE Access, 2019

2018

Series Arc Fault Detection in DC Microgrid Using Hybrid Detection Method.

Miao Li, Shibo Lu, Daming Zhang, Bao Toan Phung

Proceedings of the IECON 2018, 2018

2017

Arcing fault detection in the scenario with renewable energy generation.

Shibo Lu, Daming Zhang, Bao Toan Phung

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017